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1. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmaña, J, Bandera, EV, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, NV, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, YE, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, De La Hoya, M, De Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dörk, T, Du Bois, A, Dürst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, RT, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Høgdall, E, Høgdall, CK, Hopper, JL, Huang, RY, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Van Der Hout, AH, Isaacs, C, Jakubowska, A, James, PA, Dareng, EO [0000-0003-0802-419X], Tyrer, JP [0000-0003-3724-4757], Barnes, DR [0000-0002-3781-7570], Yang, X [0000-0003-0037-3790], Andrulis, IL [0000-0002-4226-6435], Augustinsson, A [0000-0003-3415-0536], Barrowdale, D [0000-0003-1661-3939], Bonanni, B [0000-0003-3589-2128], Brenton, JD [0000-0002-5738-6683], Butzow, R [0000-0003-4366-5099], Chanock, SJ [0000-0002-2324-3393], Claes, KBM [0000-0003-0841-7372], de la Hoya, M [0000-0002-8113-1410], de Putter, R [0000-0001-9410-8941], Dennis, J [0000-0003-4591-1214], Devilee, P [0000-0002-8023-2009], du Bois, A [0000-0002-8477-506X], Machackova, E [0000-0002-0246-1471], Giles, GG [0000-0003-4946-9099], Godwin, AK [0000-0002-3987-9580], Greene, MH [0000-0003-1852-9239], Heitz, F [0000-0002-2412-0352], Hulick, PJ [0000-0001-8397-4078], Jakubowska, A [0000-0002-5650-0501], James, PA [0000-0002-4361-4657], and Apollo - University of Cambridge Repository

Subjects
Rare Diseases, FOS: Biological sciences, Prevention, Genetics, 32 Biomedical and Clinical Sciences, 3211 Oncology and Carcinogenesis, 3105 Genetics, 31 Biological Sciences, Ovarian Cancer, Cancer
Abstract

Funder: Funding details are provided in the Supplementary Material, Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally-efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, “select and shrink for summary statistics” (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestry; 7,669 women of East Asian ancestry; 1,072 women of African ancestry, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestry. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38(95%CI:1.28–1.48,AUC:0.588) per unit standard deviation, in women of European ancestry; 1.14(95%CI:1.08–1.19,AUC:0.538) in women of East Asian ancestry; 1.38(95%CI:1.21-1.58,AUC:0.593) in women of African ancestry; hazard ratios of 1.37(95%CI:1.30–1.44,AUC:0.592) in BRCA1 pathogenic variant carriers and 1.51(95%CI:1.36-1.67,AUC:0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Published
2022
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2. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, E.O., Tyrer, J.P., Barnes, D.R., Jones, M.R., Yang, X, Aben, K.K.H., Adank, M.A., Agata, S., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Aravantinos, G., Arun, B.K., Augustinsson, A., Balmaña, J., Bandera, E.V., Barkardottir, R.B., Barrowdale, D., Beckmann, M.W., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Bernardini, M.Q., Bjorge, L., Black, A., Bogdanova, N.V., Bonanni, B., Borg, A., Brenton, J.D., Budzilowska, A., Butzow, R., Buys, S.S., Cai, H., Caligo, M.A., Campbell, I., Cannioto, R., Cassingham, H., Chang-Claude, J., Chanock, S.J., Chen, K., Chiew, Y.E., Chung, W.K., Claes, K.B.M., Colonna, S., Cook, L.S., Couch, F.J., Daly, M.B., Dao, F., Davies, E., Hoya, M. de la, Putter, R. de, Dennis, J., DePersia, A., Devilee, P., Diez, O., Ding, Y.C., Doherty, J.A., Domchek, S.M., Dörk, T., Bois, A. du, Dürst, M., Eccles, D.M., Eliassen, H.A., Engel, C., Evans, G.D., Fasching, P.A., Flanagan, J.M., Fortner, R.T., Machackova, E., Friedman, E., Ganz, P.A., Garber, J., Gensini, F., Giles, G.G., Glendon, G., Godwin, A.K., Goodman, M.T., Greene, M.H., Gronwald, J., Hahnen, E., Haiman, C.A., Håkansson, N., Hamann, U., Hansen, T.V., Harris, H.R., Hartman, M, Heitz, F., Hildebrandt, M.A., Høgdall, E., Høgdall, C.K., Hopper, J.L., Huang, R.Y., Huff, C., Hulick, P.J., Huntsman, D.G., Imyanitov, E.N., Isaacs, C., Jakubowska, A., James, P.A., Kiemeney, L.A.L.M., Altena, A.M. van, Janavicius, R., Antoniou, A.C., Pharoah, P.D., Dareng, E.O., Tyrer, J.P., Barnes, D.R., Jones, M.R., Yang, X, Aben, K.K.H., Adank, M.A., Agata, S., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Aravantinos, G., Arun, B.K., Augustinsson, A., Balmaña, J., Bandera, E.V., Barkardottir, R.B., Barrowdale, D., Beckmann, M.W., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Bernardini, M.Q., Bjorge, L., Black, A., Bogdanova, N.V., Bonanni, B., Borg, A., Brenton, J.D., Budzilowska, A., Butzow, R., Buys, S.S., Cai, H., Caligo, M.A., Campbell, I., Cannioto, R., Cassingham, H., Chang-Claude, J., Chanock, S.J., Chen, K., Chiew, Y.E., Chung, W.K., Claes, K.B.M., Colonna, S., Cook, L.S., Couch, F.J., Daly, M.B., Dao, F., Davies, E., Hoya, M. de la, Putter, R. de, Dennis, J., DePersia, A., Devilee, P., Diez, O., Ding, Y.C., Doherty, J.A., Domchek, S.M., Dörk, T., Bois, A. du, Dürst, M., Eccles, D.M., Eliassen, H.A., Engel, C., Evans, G.D., Fasching, P.A., Flanagan, J.M., Fortner, R.T., Machackova, E., Friedman, E., Ganz, P.A., Garber, J., Gensini, F., Giles, G.G., Glendon, G., Godwin, A.K., Goodman, M.T., Greene, M.H., Gronwald, J., Hahnen, E., Haiman, C.A., Håkansson, N., Hamann, U., Hansen, T.V., Harris, H.R., Hartman, M, Heitz, F., Hildebrandt, M.A., Høgdall, E., Høgdall, C.K., Hopper, J.L., Huang, R.Y., Huff, C., Hulick, P.J., Huntsman, D.G., Imyanitov, E.N., Isaacs, C., Jakubowska, A., James, P.A., Kiemeney, L.A.L.M., Altena, A.M. van, Janavicius, R., Antoniou, A.C., and Pharoah, P.D.

Abstract

Item does not contain fulltext, Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Published
2022

3. Polygenic risk modeling for prediction of epithelial ovarian cancer risk (vol 30, pg 349, 2021)

Author

Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmana, J, Bandera, EV, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, NV, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, Y-E, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dork, T, du Bois, A, Durst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, RT, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Hogdall, E, Hogdall, CK, Hopper, JL, Huang, R-Y, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, PA, Janavicius, R, Jensen, A, Johannsson, OT, John, EM, Jones, ME, Kang, D, Karlan, BY, Karnezis, A, Kelemen, LE, Khusnutdinova, E, Kiemeney, LA, Kim, B-G, Kjaer, SK, Komenaka, I, Kupryjanczyk, J, Kurian, AW, Kwong, A, Lambrechts, D, Larson, MC, Lazaro, C, Le, ND, Leslie, G, Lester, J, Lesueur, F, Levine, DA, Li, L, Li, J, Loud, JT, Lu, KH, Lubinski, J, Mai, PL, Manoukian, S, Marks, JR, Matsuno, RK, Matsuo, K, May, T, McGuffog, L, McLaughlin, JR, McNeish, IA, Mebirouk, N, Menon, U, Miller, A, Milne, RL, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, KB, Munro, E, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Yie, JNY, Nielsen, HR, Nielsen, FC, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, OI, Olson, SH, Olsson, H, Osorio, A, Papi, L, Park, SK, Parsons, MT, Pathak, H, Pedersen, IS, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, JB, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, MJ, Risch, HA, Rodriguez-Antona, C, Ross, E, Rossing, MA, Runnebaum, I, Sandler, DP, Santamarina, M, Soucy, P, Schmutzler, RK, Setiawan, VW, Shan, K, Sieh, W, Simard, J, Singer, CF, Sokolenko, AP, Song, H, Southey, MC, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, AJ, Tan, YY, Teixeira, MR, Teo, SH, Terry, KL, Terry, MB, Thomassen, M, Thompson, PJ, Thomsen, LCV, Thull, DL, Tischkowitz, M, Titus, L, Toland, AE, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, SS, Valen, E, van Altena, AM, van der Hout, AH, Van Nieuwenhuysen, E, van Rensburg, EJ, Vega, A, Edwards, DV, Vierkant, RA, Wang, F, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, White, E, Whittemore, AS, Winham, SJ, Wolk, A, Woo, Y-L, Wu, AH, Yan, L, Yannoukakos, D, Zavaglia, KM, Zheng, W, Ziogas, A, Zorn, KK, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, TA, Ramus, SJ, Pearce, CL, Monteiro, AN, Cunningham, JM, Goode, EL, Schildkraut, JM, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Antoniou, AC, Pharoah, PDP, Dareng, EO, Tyrer, JP, Barnes, DR, Jones, MR, Yang, X, Aben, KKH, Adank, MA, Agata, S, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Aravantinos, G, Arun, BK, Augustinsson, A, Balmana, J, Bandera, EV, Barkardottir, RB, Barrowdale, D, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Bjorge, L, Black, A, Bogdanova, NV, Bonanni, B, Borg, A, Brenton, JD, Budzilowska, A, Butzow, R, Buys, SS, Cai, H, Caligo, MA, Campbell, I, Cannioto, R, Cassingham, H, Chang-Claude, J, Chanock, SJ, Chen, K, Chiew, Y-E, Chung, WK, Claes, KBM, Colonna, S, Cook, LS, Couch, FJ, Daly, MB, Dao, F, Davies, E, de la Hoya, M, de Putter, R, Dennis, J, DePersia, A, Devilee, P, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dork, T, du Bois, A, Durst, M, Eccles, DM, Eliassen, HA, Engel, C, Evans, GD, Fasching, PA, Flanagan, JM, Fortner, RT, Machackova, E, Friedman, E, Ganz, PA, Garber, J, Gensini, F, Giles, GG, Glendon, G, Godwin, AK, Goodman, MT, Greene, MH, Gronwald, J, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Hogdall, E, Hogdall, CK, Hopper, JL, Huang, R-Y, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Isaacs, C, Jakubowska, A, James, PA, Janavicius, R, Jensen, A, Johannsson, OT, John, EM, Jones, ME, Kang, D, Karlan, BY, Karnezis, A, Kelemen, LE, Khusnutdinova, E, Kiemeney, LA, Kim, B-G, Kjaer, SK, Komenaka, I, Kupryjanczyk, J, Kurian, AW, Kwong, A, Lambrechts, D, Larson, MC, Lazaro, C, Le, ND, Leslie, G, Lester, J, Lesueur, F, Levine, DA, Li, L, Li, J, Loud, JT, Lu, KH, Lubinski, J, Mai, PL, Manoukian, S, Marks, JR, Matsuno, RK, Matsuo, K, May, T, McGuffog, L, McLaughlin, JR, McNeish, IA, Mebirouk, N, Menon, U, Miller, A, Milne, RL, Minlikeeva, A, Modugno, F, Montagna, M, Moysich, KB, Munro, E, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Yie, JNY, Nielsen, HR, Nielsen, FC, Nikitina-Zake, L, Odunsi, K, Offit, K, Olah, E, Olbrecht, S, Olopade, OI, Olson, SH, Olsson, H, Osorio, A, Papi, L, Park, SK, Parsons, MT, Pathak, H, Pedersen, IS, Peixoto, A, Pejovic, T, Perez-Segura, P, Permuth, JB, Peshkin, B, Peterlongo, P, Piskorz, A, Prokofyeva, D, Radice, P, Rantala, J, Riggan, MJ, Risch, HA, Rodriguez-Antona, C, Ross, E, Rossing, MA, Runnebaum, I, Sandler, DP, Santamarina, M, Soucy, P, Schmutzler, RK, Setiawan, VW, Shan, K, Sieh, W, Simard, J, Singer, CF, Sokolenko, AP, Song, H, Southey, MC, Steed, H, Stoppa-Lyonnet, D, Sutphen, R, Swerdlow, AJ, Tan, YY, Teixeira, MR, Teo, SH, Terry, KL, Terry, MB, Thomassen, M, Thompson, PJ, Thomsen, LCV, Thull, DL, Tischkowitz, M, Titus, L, Toland, AE, Torres, D, Trabert, B, Travis, R, Tung, N, Tworoger, SS, Valen, E, van Altena, AM, van der Hout, AH, Van Nieuwenhuysen, E, van Rensburg, EJ, Vega, A, Edwards, DV, Vierkant, RA, Wang, F, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, White, E, Whittemore, AS, Winham, SJ, Wolk, A, Woo, Y-L, Wu, AH, Yan, L, Yannoukakos, D, Zavaglia, KM, Zheng, W, Ziogas, A, Zorn, KK, Kleibl, Z, Easton, D, Lawrenson, K, DeFazio, A, Sellers, TA, Ramus, SJ, Pearce, CL, Monteiro, AN, Cunningham, JM, Goode, EL, Schildkraut, JM, Berchuck, A, Chenevix-Trench, G, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Published
2022

4. Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores

Author

Barnes, DR, Silvestri, V, Leslie, G, McGuffog, L, Dennis, J, Yang, X, Adlard, J, Agnarsson, BA, Ahmed, M, Aittomaki, K, Andrulis, IL, Arason, A, Arnold, N, Auber, B, Azzollini, J, Balmana, J, Barkardottir, RB, Barrowdale, D, Barwell, J, Belotti, M, Benitez, J, Berthet, P, Boonen, SE, Borg, A, Bozsik, A, Brady, AF, Brennan, P, Brewer, C, Brunet, J, Bucalo, A, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cassingham, H, Christensen, LL, Cini, G, Claes, KBM, Cook, J, Coppa, A, Cortesi, L, Damante, G, Darder, E, Davidson, R, de la Hoya, M, De Leeneer, K, de Putter, R, Del Valle, J, Diez, O, Ding, YC, Domchek, SM, Donaldson, A, Eason, J, Eeles, R, Engel, C, Evans, DG, Feliubadalo, L, Fostira, F, Frone, M, Frost, D, Gallagher, D, Gehrig, A, Giraud, S, Glendon, G, Godwin, AK, Goldgar, DE, Greene, MH, Gregory, H, Gross, E, Hahnen, E, Hamann, U, Hansen, TVO, Hanson, H, Hentschel, J, Horvath, J, Izatt, L, Izquierdo, A, James, PA, Janavicius, R, Jensen, UB, Johannsson, OT, John, EM, Kramer, G, Kroeldrup, L, Kruse, TA, Lautrup, C, Lazaro, C, Lesueur, F, Lopez-Fernandez, A, Mai, PL, Manoukian, S, Matrai, Z, Matricardi, L, Maxwell, KN, Mebirouk, N, Meindl, A, Montagna, M, Monteiro, AN, Morrison, PJ, Muranen, TA, Murray, A, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Tu, N-D, Niederacher, D, Olah, E, Olopade, O, Palli, D, Parsons, MT, Pedersen, IS, Peissel, B, Perez-Segura, P, Peterlongo, P, Petersen, AH, Pinto, P, Porteous, ME, Pottinger, C, Pujana, MA, Radice, P, Ramser, J, Rantala, J, Robson, M, Rogers, MT, Ronlund, K, Rump, A, Sanchez de Abajo, AM, Shah, PD, Sharif, S, Side, LE, Singer, CF, Stadler, Z, Steele, L, Stoppa-Lyonnet, D, Sutter, C, Tan, YY, Teixeira, MR, Teule, A, Thull, DL, Tischkowitz, M, Toland, AE, Tommasi, S, Toss, A, Trainer, AH, Tripathi, V, Valentini, V, van Asperen, CJ, Venturelli, M, Viel, A, Vijai, J, Walker, L, Wang-Gohrke, S, Wappenschmidt, B, Whaite, A, Zanna, I, Offit, K, Thomassen, M, Couch, FJ, Schmutzler, RK, Simard, J, Easton, DF, Chenevix-Trench, G, Antoniou, AC, Ottini, L, Barnes, DR, Silvestri, V, Leslie, G, McGuffog, L, Dennis, J, Yang, X, Adlard, J, Agnarsson, BA, Ahmed, M, Aittomaki, K, Andrulis, IL, Arason, A, Arnold, N, Auber, B, Azzollini, J, Balmana, J, Barkardottir, RB, Barrowdale, D, Barwell, J, Belotti, M, Benitez, J, Berthet, P, Boonen, SE, Borg, A, Bozsik, A, Brady, AF, Brennan, P, Brewer, C, Brunet, J, Bucalo, A, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cassingham, H, Christensen, LL, Cini, G, Claes, KBM, Cook, J, Coppa, A, Cortesi, L, Damante, G, Darder, E, Davidson, R, de la Hoya, M, De Leeneer, K, de Putter, R, Del Valle, J, Diez, O, Ding, YC, Domchek, SM, Donaldson, A, Eason, J, Eeles, R, Engel, C, Evans, DG, Feliubadalo, L, Fostira, F, Frone, M, Frost, D, Gallagher, D, Gehrig, A, Giraud, S, Glendon, G, Godwin, AK, Goldgar, DE, Greene, MH, Gregory, H, Gross, E, Hahnen, E, Hamann, U, Hansen, TVO, Hanson, H, Hentschel, J, Horvath, J, Izatt, L, Izquierdo, A, James, PA, Janavicius, R, Jensen, UB, Johannsson, OT, John, EM, Kramer, G, Kroeldrup, L, Kruse, TA, Lautrup, C, Lazaro, C, Lesueur, F, Lopez-Fernandez, A, Mai, PL, Manoukian, S, Matrai, Z, Matricardi, L, Maxwell, KN, Mebirouk, N, Meindl, A, Montagna, M, Monteiro, AN, Morrison, PJ, Muranen, TA, Murray, A, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Tu, N-D, Niederacher, D, Olah, E, Olopade, O, Palli, D, Parsons, MT, Pedersen, IS, Peissel, B, Perez-Segura, P, Peterlongo, P, Petersen, AH, Pinto, P, Porteous, ME, Pottinger, C, Pujana, MA, Radice, P, Ramser, J, Rantala, J, Robson, M, Rogers, MT, Ronlund, K, Rump, A, Sanchez de Abajo, AM, Shah, PD, Sharif, S, Side, LE, Singer, CF, Stadler, Z, Steele, L, Stoppa-Lyonnet, D, Sutter, C, Tan, YY, Teixeira, MR, Teule, A, Thull, DL, Tischkowitz, M, Toland, AE, Tommasi, S, Toss, A, Trainer, AH, Tripathi, V, Valentini, V, van Asperen, CJ, Venturelli, M, Viel, A, Vijai, J, Walker, L, Wang-Gohrke, S, Wappenschmidt, B, Whaite, A, Zanna, I, Offit, K, Thomassen, M, Couch, FJ, Schmutzler, RK, Simard, J, Easton, DF, Chenevix-Trench, G, Antoniou, AC, and Ottini, L

Abstract

BACKGROUND: Recent population-based female breast cancer and prostate cancer polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with breast and prostate cancer risks for male BRCA1 and BRCA2 pathogenic variant carriers. METHODS: 483 BRCA1 and 1318 BRCA2 European ancestry male carriers were available from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A 147-single nucleotide polymorphism (SNP) prostate cancer PRS (PRSPC) and a 313-SNP breast cancer PRS were evaluated. There were 3 versions of the breast cancer PRS, optimized to predict overall (PRSBC), estrogen receptor (ER)-negative (PRSER-), or ER-positive (PRSER+) breast cancer risk. RESULTS: PRSER+ yielded the strongest association with breast cancer risk. The odds ratios (ORs) per PRSER+ standard deviation estimates were 1.40 (95% confidence interval [CI] =1.07 to 1.83) for BRCA1 and 1.33 (95% CI = 1.16 to 1.52) for BRCA2 carriers. PRSPC was associated with prostate cancer risk for BRCA1 (OR = 1.73, 95% CI = 1.28 to 2.33) and BRCA2 (OR = 1.60, 95% CI = 1.34 to 1.91) carriers. The estimated breast cancer odds ratios were larger after adjusting for female relative breast cancer family history. By age 85 years, for BRCA2 carriers, the breast cancer risk varied from 7.7% to 18.4% and prostate cancer risk from 34.1% to 87.6% between the 5th and 95th percentiles of the PRS distributions. CONCLUSIONS: Population-based prostate and female breast cancer PRS are associated with a wide range of absolute breast and prostate cancer risks for male BRCA1 and BRCA2 carriers. These findings warrant further investigation aimed at providing personalized cancer risks for male carriers and informing clinical management.

Published
2022

5. Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores.

Author

Barnes D.R., Silvestri V., Leslie G., McGuffog L., Dennis J., Yang X., Adlard J., Agnarsson B.A., Ahmed M., Aittomaki K., Andrulis I.L., Arason A., Arnold N., Auber B., Azzollini J., Balmana J., Barkardottir R.B., Barrowdale D., Barwell J., Belotti M., Benitez J., Berthet P., Boonen S.E., Borg A., Bozsik A., Brady A., Brennan P., Brewer C., Brunet J., Bucalo A., Buys S.S., Caldes T., Caligo M.A., Campbell I., Cassingham H., Lotte Christensen L., Cini G., Claes K.B.M., Cook J., Coppa A., Cortesi L., Damante G., Darder E., Davidson R., de la Hoya M., De Leeneer K., de Putter R., Del Valle J., Diez O., Chun Ding Y., Domchek S.M., Donaldson A., Eason J., Eeles R., Engel C., Gareth Evans D., Feliubadalo L., Fostira F., Frone M., Frost D., Gallagher D., Gehrig A., Giraud S., Glendon G., Godwin A.K., Goldgar D.E., Greene M.H., Gregory H., Gross E., Hahnen E., Hamann U., Hansen T.V.O., Hanson H., Hentschel J., Horvath J., Izatt L., Izquierdo A., James P.A., Janavicius R., Birk Jensen U., Johannsson O.T., John E.M., Kramer G., Kroeldrup L., Kruse T.A., Lautrup C., Lazaro C., Lesueur F., Lopez-Fernandez A., Mai P.L., Manoukian S., Matrai Z., Matricardi L., Maxwell K.N., Mebirouk N., Meindl A., Montagna M., Monteiro A.N., Morrison P.J., Muranen T.A., Murray A., Nathanson K.L., Neuhausen S.L., Nevanlinna H., Nguyen-Dumont T., Niederacher D., Olah E., Olopade O.I., Palli D., Parsons M.T., Sokilde Pedersen I., Peissel B., Perez-Segura P., Peterlongo P., Petersen A.H., Pinto P., Porteous M.E., Pottinger C., Angel Pujana M., Radice P., Ramser J., Rantala J., Robson M., Rogers M.T., Ronlund K., Rump A., Maria Sanchez de Abajo A., Shah P.D., Sharif S., Side L.E., Singer C.F., Stadler Z., Steele L., Stoppa-Lyonnet D., Sutter C., Yen Tan Y., Teixeira M.R., Teule A., Thull D.L., Tischkowitz M., Toland A.E., Tommasi S., Toss A., Trainer A.H., Tripathi V., Valentini V., van Asperen C.J., Venturelli M., Viel A., Vijai J., Walker L., Wang-Gohrke S., Wappenschmidt B., Whaite A., Zanna I., Offit K., Thomassen M., Couch F.J., Schmutzler R.K., Simard J., Easton D.F., Chenevix-Trench G., Antoniou A.C., Ottini L., Barnes D.R., Silvestri V., Leslie G., McGuffog L., Dennis J., Yang X., Adlard J., Agnarsson B.A., Ahmed M., Aittomaki K., Andrulis I.L., Arason A., Arnold N., Auber B., Azzollini J., Balmana J., Barkardottir R.B., Barrowdale D., Barwell J., Belotti M., Benitez J., Berthet P., Boonen S.E., Borg A., Bozsik A., Brady A., Brennan P., Brewer C., Brunet J., Bucalo A., Buys S.S., Caldes T., Caligo M.A., Campbell I., Cassingham H., Lotte Christensen L., Cini G., Claes K.B.M., Cook J., Coppa A., Cortesi L., Damante G., Darder E., Davidson R., de la Hoya M., De Leeneer K., de Putter R., Del Valle J., Diez O., Chun Ding Y., Domchek S.M., Donaldson A., Eason J., Eeles R., Engel C., Gareth Evans D., Feliubadalo L., Fostira F., Frone M., Frost D., Gallagher D., Gehrig A., Giraud S., Glendon G., Godwin A.K., Goldgar D.E., Greene M.H., Gregory H., Gross E., Hahnen E., Hamann U., Hansen T.V.O., Hanson H., Hentschel J., Horvath J., Izatt L., Izquierdo A., James P.A., Janavicius R., Birk Jensen U., Johannsson O.T., John E.M., Kramer G., Kroeldrup L., Kruse T.A., Lautrup C., Lazaro C., Lesueur F., Lopez-Fernandez A., Mai P.L., Manoukian S., Matrai Z., Matricardi L., Maxwell K.N., Mebirouk N., Meindl A., Montagna M., Monteiro A.N., Morrison P.J., Muranen T.A., Murray A., Nathanson K.L., Neuhausen S.L., Nevanlinna H., Nguyen-Dumont T., Niederacher D., Olah E., Olopade O.I., Palli D., Parsons M.T., Sokilde Pedersen I., Peissel B., Perez-Segura P., Peterlongo P., Petersen A.H., Pinto P., Porteous M.E., Pottinger C., Angel Pujana M., Radice P., Ramser J., Rantala J., Robson M., Rogers M.T., Ronlund K., Rump A., Maria Sanchez de Abajo A., Shah P.D., Sharif S., Side L.E., Singer C.F., Stadler Z., Steele L., Stoppa-Lyonnet D., Sutter C., Yen Tan Y., Teixeira M.R., Teule A., Thull D.L., Tischkowitz M., Toland A.E., Tommasi S., Toss A., Trainer A.H., Tripathi V., Valentini V., van Asperen C.J., Venturelli M., Viel A., Vijai J., Walker L., Wang-Gohrke S., Wappenschmidt B., Whaite A., Zanna I., Offit K., Thomassen M., Couch F.J., Schmutzler R.K., Simard J., Easton D.F., Chenevix-Trench G., Antoniou A.C., and Ottini L.

Abstract

BACKGROUND: Recent population-based female breast cancer and prostate cancer polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with breast and prostate cancer risks for male BRCA1 and BRCA2 pathogenic variant carriers. METHOD(S): 483 BRCA1 and 1,318 BRCA2 European ancestry male carriers were available from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A 147-single nucleotide polymorphism (SNP) prostate cancer PRS (PRSPC) and a 313-SNP breast cancer PRS were evaluated. There were three versions of the breast cancer PRS, optimized to predict overall (PRSBC), estrogen-receptor (ER) negative (PRSER-) or ER-positive (PRSER+) breast cancer risk. RESULT(S): PRSER+ yielded the strongest association with breast cancer risk. The odds ratios (ORs) per PRSER+ standard deviation estimates were 1.40 (95% confidence interval [CI] =1.07-1.83) for BRCA1 and 1.33 (95% CI=1.16-1.52) for BRCA2 carriers. PRSPC was associated with prostate cancer risk for both BRCA1 (OR=1.73, 95% CI=1.28-2.33) and BRCA2 (OR=1.60, 95% CI=1.34-1.91) carriers. The estimated breast cancer ORs were larger after adjusting for female relative breast cancer family history. By age 85years, for BRCA2 carriers, the breast cancer risk varied from 7.7% to 18.4% and prostate cancer risk from 34.1% to 87.6% between the 5th and 95th percentiles of the PRS distributions. CONCLUSION(S): Population-based prostate and female breast cancer PRS are associated with a wide range of absolute breast and prostate cancer risks for male BRCA1 and BRCA2 carriers. These findings warrant further investigation aimed at providing personalized cancer risks for male carriers and to inform clinical management.Copyright © The Author(s) 2021. Published by Oxford University Press.

Published
2021

7. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author

Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook LS, Couch FJ, Daly MB, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding YC, Doherty JA, Domchek SM, Dörk T, du Bois A, Dürst M, Eccles DM, Eliassen HA, Engel C, Evans GD, Fasching PA, Flanagan JM, Fortner RT, Machackova E, Friedman E, Ganz PA, Garber J, Gensini F, Giles GG, Glendon G, Godwin AK, Goodman MT, Greene MH, Gronwald J, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, Huff C, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James PA, Janavicius R, Jensen A, Johannsson OT, John EM, Jones ME, Kang D, Karlan BY, Karnezis A, Kelemen LE, Khusnutdinova E, Kiemeney LA, Kim BG, Kjaer SK, Komenaka I, Kupryjanczyk J, Kurian AW, Kwong A, Lambrechts D, Larson MC, Lazaro C, Le ND, Leslie G, Lester J, Lesueur F, Levine DA, Li L, Li J, Loud JT, Lu KH, Lubiński J, Mai PL, Manoukian S, Marks JR, Matsuno RK, Matsuo K, May T, McGuffog L, McLaughlin JR, McNeish IA, Mebirouk N, Menon U, Miller A, Milne RL, Minlikeeva A, Modugno F, Montagna M, Moysich KB, Munro E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nielsen HR, Nielsen FC, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade OI, Olson SH, Olsson H, Osorio A, Papi L, Park SK, Parsons MT, Pathak H, Pedersen IS, Peixoto A, Pejovic T, Perez-Segura P, Permuth JB, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan MJ, Risch HA, Rodriguez-Antona C, Ross E, Rossing MA, Runnebaum I, Sandler DP, Santamariña M, Soucy P, Schmutzler RK, Setiawan VW, Shan K, Sieh W, Simard J, Singer CF, Sokolenko AP, Song H, Southey MC, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow AJ, Tan YY, Teixeira MR, Teo SH, Terry KL, Terry MB, Thomassen M, Thompson PJ, Thomsen LCV, Thull DL, Tischkowitz M, Titus L, Toland AE, Torres D, Trabert B, Travis R, Tung N, Tworoger SS, Valen E, van Altena AM, van der Hout AH, Van Nieuwenhuysen E, van Rensburg EJ, Vega A, Edwards DV, Vierkant RA, Wang F, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, White E, Whittemore AS, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zavaglia KM, Zheng W, Ziogas A, Zorn KK, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers TA, Ramus SJ, Pearce CL, Monteiro AN, Cunningham J, Goode EL, Schildkraut JM, Berchuck A, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP

Published
2022
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8. Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author

Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook LS, Couch FJ, Daly MB, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding YC, Doherty JA, Domchek SM, Dörk T, du Bois A, Dürst M, Eccles DM, Eliassen HA, Engel C, Evans GD, Fasching PA, Flanagan JM, Fortner RT, Machackova E, Friedman E, Ganz PA, Garber J, Gensini F, Giles GG, Glendon G, Godwin AK, Goodman MT, Greene MH, Gronwald J, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, Huff C, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James PA, Janavicius R, Jensen A, Johannsson OT, John EM, Jones ME, Kang D, Karlan BY, Karnezis A, Kelemen LE, Khusnutdinova E, Kiemeney LA, Kim BG, Kjaer SK, Komenaka I, Kupryjanczyk J, Kurian AW, Kwong A, Lambrechts D, Larson MC, Lazaro C, Le ND, Leslie G, Lester J, Lesueur F, Levine DA, Li L, Li J, Loud JT, Lu KH, Lubiński J, Mai PL, Manoukian S, Marks JR, Matsuno RK, Matsuo K, May T, McGuffog L, McLaughlin JR, McNeish IA, Mebirouk N, Menon U, Miller A, Milne RL, Minlikeeva A, Modugno F, Montagna M, Moysich KB, Munro E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nielsen HR, Nielsen FC, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade OI, Olson SH, Olsson H, Osorio A, Papi L, Park SK, Parsons MT, Pathak H, Pedersen IS, Peixoto A, Pejovic T, Perez-Segura P, Permuth JB, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan MJ, Risch HA, Rodriguez-Antona C, Ross E, Rossing MA, Runnebaum I, Sandler DP, Santamariña M, Soucy P, Schmutzler RK, Setiawan VW, Shan K, Sieh W, Simard J, Singer CF, Sokolenko AP, Song H, Southey MC, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow AJ, Tan YY, Teixeira MR, Teo SH, Terry KL, Terry MB, Thomassen M, Thompson PJ, Thomsen LCV, Thull DL, Tischkowitz M, Titus L, Toland AE, Torres D, Trabert B, Travis R, Tung N, Tworoger SS, Valen E, van Altena AM, van der Hout AH, Van Nieuwenhuysen E, van Rensburg EJ, Vega A, Edwards DV, Vierkant RA, Wang F, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, White E, Whittemore AS, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zavaglia KM, Zheng W, Ziogas A, Zorn KK, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers TA, Ramus SJ, Pearce CL, Monteiro AN, Cunningham J, Goode EL, Schildkraut JM, Berchuck A, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP

Subjects
Bayes Theorem, Carcinoma, Ovarian Epithelial genetics, Female, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Breast Neoplasms, Ovarian Neoplasms epidemiology, Ovarian Neoplasms genetics
Abstract

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs., (© 2021. The Author(s).)

Published
2022
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9. Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores.

Author

Barnes DR, Silvestri V, Leslie G, McGuffog L, Dennis J, Yang X, Adlard J, Agnarsson BA, Ahmed M, Aittomäki K, Andrulis IL, Arason A, Arnold N, Auber B, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Barwell J, Belotti M, Benitez J, Berthet P, Boonen SE, Borg Å, Bozsik A, Brady AF, Brennan P, Brewer C, Brunet J, Bucalo A, Buys SS, Caldés T, Caligo MA, Campbell I, Cassingham H, Christensen LL, Cini G, Claes KBM, Cook J, Coppa A, Cortesi L, Damante G, Darder E, Davidson R, de la Hoya M, De Leeneer K, de Putter R, Del Valle J, Diez O, Ding YC, Domchek SM, Donaldson A, Eason J, Eeles R, Engel C, Evans DG, Feliubadaló L, Fostira F, Frone M, Frost D, Gallagher D, Gehrig A, Giraud S, Glendon G, Godwin AK, Goldgar DE, Greene MH, Gregory H, Gross E, Hahnen E, Hamann U, Hansen TVO, Hanson H, Hentschel J, Horvath J, Izatt L, Izquierdo A, James PA, Janavicius R, Jensen UB, Johannsson OT, John EM, Kramer G, Kroeldrup L, Kruse TA, Lautrup C, Lazaro C, Lesueur F, Lopez-Fernández A, Mai PL, Manoukian S, Matrai Z, Matricardi L, Maxwell KN, Mebirouk N, Meindl A, Montagna M, Monteiro AN, Morrison PJ, Muranen TA, Murray A, Nathanson KL, Neuhausen SL, Nevanlinna H, Nguyen-Dumont T, Niederacher D, Olah E, Olopade OI, Palli D, Parsons MT, Pedersen IS, Peissel B, Perez-Segura P, Peterlongo P, Petersen AH, Pinto P, Porteous ME, Pottinger C, Pujana MA, Radice P, Ramser J, Rantala J, Robson M, Rogers MT, Rønlund K, Rump A, Sánchez de Abajo AM, Shah PD, Sharif S, Side LE, Singer CF, Stadler Z, Steele L, Stoppa-Lyonnet D, Sutter C, Tan YY, Teixeira MR, Teulé A, Thull DL, Tischkowitz M, Toland AE, Tommasi S, Toss A, Trainer AH, Tripathi V, Valentini V, van Asperen CJ, Venturelli M, Viel A, Vijai J, Walker L, Wang-Gohrke S, Wappenschmidt B, Whaite A, Zanna I, Offit K, Thomassen M, Couch FJ, Schmutzler RK, Simard J, Easton DF, Chenevix-Trench G, Antoniou AC, and Ottini L

Subjects
Aged, 80 and over, BRCA1 Protein genetics, BRCA2 Protein genetics, Genetic Predisposition to Disease, Heterozygote, Humans, Male, Mutation, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Prostatic Neoplasms epidemiology, Prostatic Neoplasms genetics
Abstract

Background: Recent population-based female breast cancer and prostate cancer polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with breast and prostate cancer risks for male BRCA1 and BRCA2 pathogenic variant carriers., Methods: 483 BRCA1 and 1318 BRCA2 European ancestry male carriers were available from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A 147-single nucleotide polymorphism (SNP) prostate cancer PRS (PRSPC) and a 313-SNP breast cancer PRS were evaluated. There were 3 versions of the breast cancer PRS, optimized to predict overall (PRSBC), estrogen receptor (ER)-negative (PRSER-), or ER-positive (PRSER+) breast cancer risk., Results: PRSER+ yielded the strongest association with breast cancer risk. The odds ratios (ORs) per PRSER+ standard deviation estimates were 1.40 (95% confidence interval [CI] =1.07 to 1.83) for BRCA1 and 1.33 (95% CI = 1.16 to 1.52) for BRCA2 carriers. PRSPC was associated with prostate cancer risk for BRCA1 (OR = 1.73, 95% CI = 1.28 to 2.33) and BRCA2 (OR = 1.60, 95% CI = 1.34 to 1.91) carriers. The estimated breast cancer odds ratios were larger after adjusting for female relative breast cancer family history. By age 85 years, for BRCA2 carriers, the breast cancer risk varied from 7.7% to 18.4% and prostate cancer risk from 34.1% to 87.6% between the 5th and 95th percentiles of the PRS distributions., Conclusions: Population-based prostate and female breast cancer PRS are associated with a wide range of absolute breast and prostate cancer risks for male BRCA1 and BRCA2 carriers. These findings warrant further investigation aimed at providing personalized cancer risks for male carriers and informing clinical management., (© The Author(s) 2021. Published by Oxford University Press.)

Published
2022
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